遥感空间系统中目标信息流管理方法。第2部分。相互关联的数学模型系统形成

A. Starkov, Старков Александр Владимирович, A. A. Emelyanov, Емельянов Андрей Александрович, Lyubov A. Grishantseva, Гришанцева Любовь Александровна, K. I. Zhukovskaya, Жуковская Ксения Ивановна, A. A. Morozov, Морозов Александр Андреевич, Alexey A. Trishin, Тришин Алексей Александрович
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引用次数: 2

摘要

在该系列文章的第二部分中,考虑了系统组织数学模型以解决地球遥感空间系统中目标信息流控制问题的问题。介绍了作为信息系统组成部分的轨道星座的相关数学模型,该系统的主要任务是调查地面物体并形成用于进一步处理的初始信息量。为了计算空间部分满足请求的时间,提出了以下形成方法:地球遥感航天器轨道演变模型;用于预测可能的航天器校正间隔以维持标称轨道参数的模型;用于预测观测设备的开/关周期的可能时间间隔的模型;用于预测将接收到的信息转储到信息接收点的可能时间间隔的模型。在计算为轨道综合体提出的单一请求提供服务的费用时,同时考虑了每单位时间为一艘航天器提供服务的成本和处理地面综合体提出的单个请求的成本。最后,提出了地球遥感空间系统目标信息流模型的一种广义表示形式,即当应用适当的处理过程(交通变化函数)时,改变信息量的函数序列。并考虑了解决优化问题的一般方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for managing the flows of target information in the remote sensing space system Part 2. Interrelated mathematical models systems formation
In the second part of the series of articles, the issues of the systemic organization of mathematical models for solving the problem of controlling the flows of target information in the Earth remote sensing space system are considered. A description of the interrelated mathematical models of the orbital constellation as components of the information system, the main task of which is to survey ground objects and the formation of the initial volume of information for its further processing, is presented. To calculate the time of servicing the request by the space segment, the following methods of formation are proposed: a model of the evolution of the Earth remote sensing spacecraft orbit; model for forecasting possible spacecraft correction intervals to maintain nominal orbital parameters; model for forecasting possible time intervals for on / off cycles of observation equipment; model for forecasting possible time intervals for dumping the received information to the information reception points. When calculating the cost of servicing a single request from the orbital complex, both the cost of servicing one spacecraft per unit of time and the cost of processing a single request from the ground complex were taken into account. In conclusion, a generalized form of representation of the target information flow model of the Earth remote sensing space system is proposed as an interconnected sequence of functions for changing the amount of information when an appropriate processing process (traffic change functions) is applied to it. General approaches to solving the optimization problem are considered.
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